unecessary carriage return
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@@ -470,7 +470,6 @@ def main():
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tokenizer = tokenizer_class.from_pretrained(args.tokenizer_name if args.tokenizer_name else args.model_name_or_path, do_lower_case=args.do_lower_case)
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model = model_class.from_pretrained(args.model_name_or_path, from_tf=bool('.ckpt' in args.model_name_or_path), config=config)
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if args.local_rank == 0:
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torch.distributed.barrier() # Make sure only the first process in distributed training will download model & vocab
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